After representation learning, we measure the quality of an embedding by linear evaluation [1]}, [2]}, [3]}, [4]}.
The HarperValleyBank corpus is split into train (80%) and test (20%) sets by class to ensure both sets have instances of each class.
Thus, each transfer task has its own train test split. Refer to the public repository for training hyperparameters.
